R. Branton 1 , J. Black 1 , J. McRuer 1 , M. Fogarty 2 1 Bedford Institute of Oceanography
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Transcript of R. Branton 1 , J. Black 1 , J. McRuer 1 , M. Fogarty 2 1 Bedford Institute of Oceanography
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Using U.S. and Canadian Atlantic Using U.S. and Canadian Atlantic Research Trawl Surveys to Lead Research Trawl Surveys to Lead
Development of a Standards Development of a Standards Based Ocean Observing SystemBased Ocean Observing System
R. BrantonR. Branton11, J. Black, J. Black11, J. McRuer, J. McRuer11, M. Fogarty, M. Fogarty22
11Bedford Institute of OceanographyBedford Institute of Oceanography22Woods Hole Laboratory of the Northeast Fisheries Science CentreWoods Hole Laboratory of the Northeast Fisheries Science Centre
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Basis of this Presentation
Trawl surveys are: • widely used for assessing populations of
bottom dwelling fish and invertebrates,
• a rich source of in-situ measurements for ground truthing and augmentation of remotely sensed data,
• leading development of standards based ocean observing systems.
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Canadian and United States Trawl Surveys
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Canada1) Bedford Institute of Oceanography
2) Gulf Fisheries Centre
3) Institute Maurice Lamontagne
4) North West Atlantic Fisheries Centre
5) Saint Andrews Biological Station
United States6) Northeast Fisheries Science Center
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Types of Observations
For 400+ species:• total weight caught• total number caught• count at length
For some species:• individual length and
weight• sex, maturity and age
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Types of Results
• Species Distribution
• Fish Stock and Population Trends
• Species Life History
• Environmental Preferences
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Next StepsUnder Canada’s GeoConnections Access Program:• create ANSI/ISO metadata and extend BIO access facilities
to support these standards,• serve annually updated population & distribution products
for 99 species presently on ECNASAP site,• expand population & distribution products to include all
400+ species, • where possible, provide estimates for juvenile and adult stock
components,• assist other NW Atlantic fisheries laboratories to establish
similar facilities.
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Gulf of Maine Biogeographical Information System
Huntsman Marine ScienceCenter
NOAA Northeast Fisheries ScienceCenter
Bedford Instituteof Oceanography
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Objectives
• Improve Underlying Taxonomic Collections– Digitize entire Atlantic Reference Centre fish
collection, not only for Gulf of Maine but also a major portion of the NW Atlantic,
– Create electronic atlas to facilitate study of taxonomic collections for selected areas of ocean bottom.
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Next Steps
Under Canada’s GeoConnections Access Program:• establish common minimum data and image capture
facilities for CMB members,• extend ANSI/ISO metadata facilities at BIO to include
CMB member data,• extend electronic atlas to include all available Atlantic
Canada taxonomic collections,• extend atlas to cover all 3 of Canada’s oceans.
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Supporting the Global Spatial Data Infrastructure
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Underlying Concerns
• Need for a conceptual model that simply describes what we should be doing.– ever growing collections of highly detailed data not
being integrated into a collective whole and effectively used for decision making.
– making sense of and exploiting the growing and diverse constructs and technologies presently transforming the information management paradigm.
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Information Ecosystem
Needs
EfficiencyComplexityOperations
Data Management
Model
ManagementIntelligence
• Satisfying organization needs is the primary goal when building an information infrastructure,
• Issues of complexity and efficiency, although important are secondary,
• Operational systems provide the data from which intelligence and management information is ultimately derived.
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Understanding Needs
Types of Users• Explorers - irregular access,
looking for relationships in the data, need tools for analysis,
• Farmers - regular access, knows what they are looking for, predictable, needs tools for presentation,
• Tourists - looks at lots of data on a random basis, often not at same data twice, making heavy use of metadata.
Types of Analysis• Structured - mostly farmers
and the occasional tourist analyzing data for future possible action,
• Operational - mostly farmers analyzing data for immediate action,
• Exploratory - mostly explorers and some tourists
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Making Data Into Information
PortalsPortals andand
Clearing-Clearing-houseshouses
Off line Off line StorageStorage
Quality Quality ControlControlReportsReports
OperationalOperationalData StoreData Store
DataDataMartsMarts
IntranetIntranetFirewallFirewallInternetInternet
DataDataWarehouseWarehouse
TransformTransformIntegrateIntegrate
andandQualityQualityControlControl
International International MetadataMetadataStandardsStandards
DDAATTAA
IINNFFOORRMMAATTIIOONN
WebWebServicesServices
OperationalOperationalSystemsSystems
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Risks
• If we proceed without a conceptual model, differences in data management practices between the various specialist groups and regions will continue to grow.
• Continued difficulty with understanding the technical needs and resource levels both inside and outside of science.